Vestiaire Collective is the leading global online marketplace for desirable pre-loved fashion. Our mission is to transform the fashion industry for a more sustainable future by empowering our community to promote the circular fashion movement. Vestiaire was founded in 2009 and is headquartered in Paris with offices in London, Berlin, New York, Singapore and Hong Kong and warehouses in Tourcoing (France), Crawley (UK), Hong Kong and New York.

We currently have a diverse global team of 1000 employees representing over 50 nationalities. Our values are community, activism, transparency, dedication and greatness. We are proud to be a BCorp.

About the role

Vestiaire Collective is hiring a Senior Data Engineer on our data platform team, to play a crucial role in developing and enhancing our data infrastructure, driving Vestiaire Collective's mission towards a sustainable fashion industry.

What you'll do

• Data Platform Architecture:
  • Design and evolve our data platform's architecture for scalable, efficient data processing and analytics.
  • Participate in strategic planning for long-term alignment with business goals
• Data Integration and Modeling
  • Implement robust, scalable data integration strategies.
  • Optimize data models for efficient storage, retrieval, and analytics.
• Building ML Platform Ecosystem
  • Collaboratively develop a scalable, reliable ML platform, focusing on model serving, training, and essential MLOps features.
  • Prioritize efficiency, automation, and best practices in MLOps.
• Workflow Automation
  • Develop automated solutions to enhance data operations.
  • Utilize Apache Airflow for effective data workflow management.
• Real-Time Data Processing
  • Create real-time data processing applications, leveraging Kafka for timely data availability.
  • Ensure high throughput and low latency in data processing/serv.
• Continuous Learning and Improvement
  • Stay abreast of the latest data engineering trends and technologies.
  • Foster a culture of continuous learning and knowledge sharing.

Required Skills

• Python
  • Expert in clean, efficient Python coding; proficient with data libraries and web frameworks
  • Skilled in asynchronous programming.
• SQL: Strong in SQL syntax and query optimization.
• Kafka:Proficient in Kafka architecture and stream processing.
• ML Deployment / Optimization: Experienced in ML model deployment and MLOps principles.

Required Toolings

• Apache Airflow: Expertise in workflow management.
• FastAPI/Robyn: Skilled in FastAPI/Robyn development and features.
• Git:Advanced knowledge in version control and CI/CD integration.
• Cloud Services: AWS or similar cloud experience.
• Data Visualization Tools: Proficient in tools like Tableau and Streamlit.
• Monitoring and Logging Tools: Experienced with tools like DataDog, Prometheus, and Grafana.

Nice to have skills

• Terraform/Ansible: Skills in infrastructure automation.
• Golang: Experience in Go programming and its ecosystem.
• DBT: Proficient in DBT for data warehousing.
• Spark/Flin: Experienced in distributed data processing.

What we offer

• A meaningful job with an impact on the way people consume fashion and promote sustainability
• Flexible work possibilities
• The opportunity to do career-defining work in a fast-growing French-born scale up
• The possibility to work as part of a globally diverse team with more than 50 nationalities
• Two days to help Project - reinforcing your activist journey and volunteer for an association
• Significant investment in your learning and growth
• Competitive compensation and benefits package
• As full member of our entrepreneurial project, you will be eligible to free shares

Vestiaire Collective is an equal opportunities employer